databricks jobs in San Diego

Principal Engineer leading the design, build, and operation of an enterprise data platform serving 50+ source systems across R&D, Commercial, Manufacturing, and other business functions. The role combines hands-on data engineering (PySpark, T-SQL, Python, Data Factory, medallion architecture) with technical leadership of data engineers, vendor management, platform standards enforcement, and cross-functional stakeholder partnership.…See more Responsibilities span CI/CD pipeline design, data quality and reliability instrumentation, semantic layer development, data governance implementation, and delivery of new source-system integrations at scale.

Design, build, and maintain scalable batch and streaming data pipelines on AWS and Databricks, developing reusable data engineering frameworks and standardized patterns for ingestion, transformation, and validation. Leverage AI-based techniques to automate data quality checks, anomaly detection, and pipeline self-healing.…See more Define SLIs/SLOs, participate in on-call rotations, and mentor junior engineers while driving adoption of data frameworks and best practices across analytics, reporting, and AI/ML teams.

Staff Analytics Engineer responsible for designing and operationalizing agentic AI workflows, ML models, and Databricks applications at scale. Will build multi-step agent pipelines combining rules, ML models, and reasoning to solve complex business problems, then productionize them with monitoring, drift detection, and retraining strategies.…See more Requires 5+ years of hands-on ML engineering or data science with production system ownership, deep Python proficiency, strong traditional ML foundations, and proven Databricks expertise including notebook apps, dashboards, and ML pipelines. Will serve as technical authority, mentor peers, and influence architectural decisions across teams.

As a Data Engineer at Booz Allen Hamilton, you will develop and deploy data pipelines and platforms that organize disparate data sources to yield actionable insights for mission-critical applications. You'll work with Python, SQL, or similar languages to build ETL operations, manage relational and non-relational databases, and support analytics workloads on cloud platforms.…See more The role requires 1+ years of data engineering, ETL, or pipeline development experience, proficiency with source control (GitHub/Atlassian), and Linux/Windows scripting. You'll collaborate with analysts, developers, and data scientists in an agile environment to design, develop, and maintain scalable data solutions.

A junior software developer role focused on designing, implementing, and integrating AI/LLM-enabled automation and analytics for Navy cybersecurity and mission workflows. You will participate in technical discussions with cybersecurity specialists and mission partners, contribute to solution architecture and tradeoff analysis, and deliver hands-on work including scripts, APIs, and AI-assisted workflows.…See more The role requires hands-on coding in Python, API integration (REST/HTTP), version control (Git), and the ability to communicate technical concepts to non-specialists while respecting RMF, security controls, and responsible AI practices in classified or controlled environments.

Develop and maintain user-facing applications, dashboards, and workflows within Palantir Foundry, building interactive visualizations and analytics tools that transform complex data into actionable insights. Collaborate with Solutions Architects and data engineers to understand data pipelines and surface data effectively; work directly with Navy stakeholders to gather requirements and iterate on designs.…See more Implement frontend components using Foundry's Workshop, Slate, or similar tools; write and optimize SQL and Python queries to retrieve and transform data. Ensure applications meet usability, performance, and security standards while participating in Agile ceremonies and supporting testing and deployment in production.

Enterprise Data & Analytics Architect responsible for designing and maintaining SQL Server databases, developing ETL pipelines using SSIS or Azure Data Factory, and creating enterprise reporting solutions with SSRS and Power BI. The role requires 8+ years of database engineering in OLAP/OLTP environments, expert SQL Server knowledge, and experience migrating processes to Azure.…See more Candidates will oversee documentation, mentor developers, and stay current with data engineering, BI, and cloud computing trends while ensuring compliance with company and federal regulations.

A forward-deployed engineer role at Deloitte's Government & Public Services practice focused on designing, building, and deploying GenAI/LLM-powered solutions on Databricks for federal and public-sector clients. The role requires 4+ years of software/data engineering experience, 2+ years hands-on with GenAI/LLM solutions in production, and 2+ years with Databricks platform technologies.…See more Responsibilities include delivering production-quality code with strong CI/CD and documentation practices, designing extensible functionality, leading project workstreams, and translating business problems into AI solutions while traveling approximately 50%.

This Microsoft Power Platform business analyst role focuses on transforming business processes into automated, data-driven applications and dashboards. You'll develop solutions using Power Apps, Power Automate, and Power Query; analyze and model data using tools like Databricks or low-code platforms; and deliver actionable reports to support program, financial, and acquisition management.…See more The role requires 2+ years of data analysis or management experience, knowledge of Microsoft Power Platform, and the ability to translate data insights into process improvements.

Design and implement enterprise data architecture solutions across on-premises and cloud environments, including data models, pipelines, governance frameworks, and integration patterns. Develop data pipeline blueprints, entity relationship diagrams, and manage data warehousing, cataloging, and quality standards.…See more Serve as a subject-matter expert for data architecture across DoD analytics platforms, Microsoft 365, and hybrid cloud environments. Coordinate with government technical leads, platform teams, and data stakeholders while managing data governance, security accreditations, and administrative requirements.

This mid-level business analyst role focuses on transforming business processes and analytics using Microsoft Power Platform. The analyst will develop solutions and workflows using Power Apps, Power Automate, and Power Query; analyze and process data using tools like Databricks; and create data-driven dashboards and reports for defense and national security clients.…See more The role requires 2+ years of data analysis or management experience, knowledge of Microsoft Power Platform, and the ability to visualize data and document process improvements.

This mid-level business analyst role focuses on Microsoft Power Platform to transform business processes and analytics for national security applications. You will develop solutions and workflows using Power Apps, Power Automate, and Power Query; leverage data engineering tools like Databricks and SQL; and create automated applications, dashboards, and reports that provide actionable insights for program, financial, and acquisition management.…See more The role requires 2+ years of data analysis or management experience, knowledge of Microsoft Power Platform, and the ability to analyze and visualize data to solve complex business problems.

Design and build scalable, distributed data platform systems on AWS and Databricks, owning workspace architecture, governance, and lifecycle management. Implement infrastructure as code with Terraform, develop end-to-end data pipelines from ingestion to analytics and ML, and operate Amazon EKS clusters.…See more Define SLIs/SLOs for platform reliability, lead incident response and on-call rotations, implement security and compliance controls, and mentor engineers on platform standards. This senior staff role requires 8+ years building large-scale cloud platforms, 5+ years in Data Platform/DevOps/SRE roles, expert AWS knowledge, and deep hands-on experience with Databricks Lakehouse (Unity Catalog, Delta Lake, MLflow), Terraform, CI/CD pipelines, and Python/Bash scripting.

This role leads enterprise-level analytics and visualization initiatives, requiring 7+ years of BI and data visualization experience. The candidate will design executive dashboards and scorecards using Power BI and Tableau, establish visualization standards and governance, translate business requirements into actionable insights, and mentor analysts on best practices.…See more The position requires deep expertise in data modeling, SQL, dashboard architecture, and data storytelling, with strategic responsibility for the organization's long-term visualization strategy and potential evolution into a Visualization Architect role.

Staff-level data engineer who designs, develops, and maintains scalable ETL/ELT pipelines using Databricks, PySpark, and Python for enterprise analytics and AI use cases. Builds curated data layers following Lakehouse Medallion architecture, develops Databricks-native applications (notebooks, dashboards, APIs), and optimizes Apache Spark workloads for performance and cost efficiency.…See more Owns production data pipelines end-to-end, ensures data quality and reliability, and acts as a technical leader mentoring teams on data engineering best practices and modern Databricks capabilities.

Senior Microsoft Forward Deployed Engineer who will design, build, and deploy GenAI/LLM-powered solutions for government clients, translating business problems into production-grade AI systems. The role requires 7+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and deep expertise in Microsoft Azure (AI Foundry, OpenAI, AI Search), Python/TypeScript/C#, and Copilot extensibility.…See more You will lead project workstreams, work directly with client technical teams in fast-paced environments, and mentor others while building reliable, maintainable, well-documented code. 50% travel required.

Sr. Director role overseeing SIE's data and AI platform ecosystem, including data infrastructure (streaming, ingestion, warehouse), experimentation platforms, and governance tools.…See more Responsible for defining long-term vision, leading global engineering teams, and ensuring platforms process massive data volumes to deliver insights across gaming, content creation, and enterprise operations. Must drive scalability, cost efficiency, security, and operational excellence while collaborating with senior leadership to align platform strategy with business objectives. Requires proven Sr. Director-level experience and thought leadership in platform architecture, real-time data processing, and ML/AI integration.

Join Qualcomm's Enterprise AI Engineering organization as a BizAI Tech Functional Engineer, bridging business stakeholders in Finance, Sales, and SCM with the AI engineering team. You will design and deliver AI-driven agents, natural-language analytics, and workflow automations on Qualcomm's unified BizAI platform, integrating with enterprise systems like Databricks, Oracle, Salesforce, and M365.…See more The role requires full-stack technical expertise (Python, TypeScript, FastAPI, n8n, Kubernetes) combined with functional fluency to translate process pain points into governed, production-grade solutions that meet SOX, security, and auditability standards. You'll support adoption through enablement and hands-on guidance while defining standards for scalability and compliance across the enterprise.

Staff Software Engineer leading the design, architecture, and operations of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. The role involves architecting and evolving streaming and analytics platforms using Apache Flink, Spark, ClickHouse, and Druid; integrating batch and streaming workloads via lakehouse architectures; and embedding AI capabilities to automate engineering workflows and improve platform reliability.…See more You will own critical platform capabilities end-to-end from design through production operations, mentor engineers, establish technical standards, and influence cross-functional technical strategy across PlayStation's data infrastructure.

Staff Software Engineer leading design and evolution of PlayStation's Real-Time Analytics Platform (RTAP), a large-scale distributed data system handling high-throughput, low-latency analytics and stream processing. Responsibilities include architecting stream processing pipelines, optimizing data services using Apache Flink, Spark, ClickHouse, and Druid, integrating batch and streaming workloads with lakehouse architectures, and building AI-powered capabilities for platform automation.…See more The role requires deep expertise in distributed systems, real-time analytics, and mentoring engineering teams while establishing technical standards and best practices across the organization.

Staff-level engineer designing and operating large-scale distributed data platforms powering real-time analytics across PlayStation. You will lead the architecture and evolution of the Real-Time Analytics Platform (RTAP), own critical capabilities end-to-end from design through production operations, and mentor engineers.…See more Key responsibilities include building and optimizing distributed services using Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid; integrating batch and streaming workloads with lakehouse architectures; and establishing technical standards for distributed systems, stream processing, and data modeling.

Junior AI Software Developer supporting Navy cybersecurity and mission operations in San Diego. You will participate in problem discovery with mission stakeholders, contribute to technical solution design, and deliver hands-on implementation of scripts, APIs, automation, and AI/LLM-enabled workflows.…See more Work involves integrating systems via REST/HTTP APIs, writing and testing Python code, using version control, and documenting technical solutions for both technical and non-technical audiences while adhering to RMF, security controls, and responsible AI practices in classified or controlled environments.

Senior AI Software Developer who will design, implement, and integrate AI/LLM-enabled solutions and automation for Navy cybersecurity and mission workflows. You'll work in small, multidisciplinary teams translating mission requirements into technical approaches, delivering hands-on code (Python, APIs, data integration), and ensuring solutions align with RMF, security controls, and compliance boundaries.…See more The role blends advisory conversations with focused implementation of secure, deployable systems that reduce cyber risk and improve operational efficiency. Success requires 4+ years of software development or integration experience, Python proficiency, API and data store expertise, cloud or enterprise deployment knowledge, and ability to communicate across technical and non-technical stakeholders.

As a client-facing data analyst, you'll work with Department of the Navy clients to understand their data needs, transform complex structured and unstructured data into actionable insights, and advise on how findings impact DoD acquisition programs and IT modernization. You'll use tools like Tableau, Python, R, or SQL for data manipulation; Databricks or Spark for data engineering; and Power Apps/Power Automate for automation.…See more You must hold or be able to obtain a Secret clearance and have 4+ years of DoD client experience.

An AI Software Developer at Booz Allen Hamilton will design, implement, and integrate AI-enabled automation and analytics solutions for Navy cybersecurity and mission workflows. The role requires hands-on Python development, API integration, and secure system design in classified or controlled environments, with close collaboration between cybersecurity specialists, engineers, and mission stakeholders.…See more Success demands translating mission requirements into technical tasks, delivering credible implementations (not slide-only recommendations), and operating within RMF, compliance, and secure engineering practices. The ideal candidate combines software engineering rigor (version control, code review, testing) with AI/LLM experience and the ability to work in small, structured teams on multidisciplinary problem-solving.